A system or method of prioritizing participants in a virtual meeting via a network by scoring each participant on several criteria and weighting the criteria to determine a readiness score. The system of accesses, for each of a plurality of participants, network data, video data, audio data, processing data, and participation data. The system determines, for each of the plurality of participants, a signal strength score based on the corresponding network data, a background score based on the corresponding video data and audio data, a microphone proximity score based on the corresponding video data, a processing score for each of the plurality of participants based on the corresponding processing data, and an engagement score based on the corresponding video data and participation data. The system calculates the readiness score, for each participant, based at least on the corresponding signal strength score, background score, engagement score, and processing score, ranks the participants, and provides the ranked participants.
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3. The method of claim 2, wherein the subset of image frames is identified by determining, by the control circuitry, a visual difference between the image frame in the subset of image frames to a reference frame.
5. The method of claim 4, wherein the subset of noises is identified, by the control circuitry, by filtering the audio wave through a Fast Fourier Transform algorithm.
6. The method of claim 4, wherein the subset of noises is identified, by the control circuitry, by filtering the audio wave based on a noise amplitude threshold.
7. The method of claim 1, wherein the video background score is determined, by the control circuitry, based on: a duration level of the motion in the video data, and a visibility level of the video data.
8. The method of claim 1, wherein the audio background score is determined, by the control circuitry, based on a duration level of the noise in the audio data and a volume level of the audio data.
10. The method of claim 9, wherein the readiness score is further determined, by the control circuitry, by at least one selected from the following: signal strength, processing data, and participation data.
13. The system of claim 12, wherein the processing circuitry is further configured to identify the subset of image frames by determining a visual difference between the image frame in the subset of image frames to a reference frame.
15. The system of claim 14, wherein the processing circuitry is further configured to identify the subset of noises by filtering the audio wave through a Fast Fourier Transform algorithm.
16. The system of claim 14, wherein the processing circuitry is further configured to identify the subset of noises by filtering the audio wave based on a noise amplitude threshold.
17. The system of claim 11, wherein the processing circuitry is further configured to determine the video background score based on: a duration level of the motion in the video data, and a visibility level of the video data.
18. The system of claim 11, wherein the processing circuitry is further configured to determine the audio background score based on a duration level of the noise in the audio data and a volume level of the audio data.
20. The system of claim 19, wherein the processing circuitry is further configured to determine the readiness score based on at least one selected from the following: signal strength, processing data, and participation data.
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November 15, 2022
June 18, 2024
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